4 papers · 1 filter
CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions
Vanessa Figueiredo, Wilter Franceschi
Reliability in large language model (LLM) systems is typically framed as a function of model capability. We challenge this by demonstrating that reliability is significantly influe…
Symbolically Scaffolded Play: Designing Role-Sensitive Prompts for Generative NPC Dialogue
Vanessa Figueiredo, David Elumeze
Large Language Models (LLMs) promise to transform interactive games by enabling non-player characters (NPCs) to sustain unscripted dialogue. Yet it remains unclear whether constrai…
A Fuzzy Logic Prompting Framework for Large Language Models in Adaptive and Uncertain Tasks
Vanessa Figueiredo
We introduce a modular prompting framework that supports safer and more adaptive use of large language models (LLMs) across dynamic, user-centered tasks. Grounded in human learning…
Fuzzy, Symbolic, and Contextual: Enhancing LLM Instruction via Cognitive Scaffolding
Vanessa Figueiredo
We study how prompt-level inductive biases influence the cognitive behavior of large language models (LLMs) in instructional dialogue. We introduce a symbolic scaffolding method pa…